CS Summer Interns Final Seminar
Please join this year’s Aalto CS summer intern concluding seminar! Presentations are organized in two parallel tracks.
29.08.2018 / 09:30 - 15:00
Time: August 29, 9:30 - 15:00
Location: T2 and T3, CS building, Konemiehentie 2
For any questions, contact the coordinators: markus.o.heinonen@aalto.fi, behrouz.jedari@aalto.fi, and neda.marvasti@aalto.fi
Presentations are organized in two parallel tracks and you can see the overview of the program below. You may also find the full program including talk abstracts in this link.
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Opening:
Room T3
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Professor Pekka Orponen
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9:30 - 9:40
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Session 1A: Room T3
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Chair : Neda B. Marvasti
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Jukka Pajunen
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Finding sorting networks with heuristic search
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9:40-10:00
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Anton Björklund
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Utilizing deep learning in particle physics
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10:00-10:20
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Luca Pajola
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All you need is "love": evading hate speech detection
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10:20-10:40
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Alexander Gurevich
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Extension of agent-based model of the economy for investigation of different taxation schemes
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10:40-11:00
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Lunch Break
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11:00-12:00
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Session 2A: Room T3
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Chair : Behrouz Jedari
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Zeinab Rezaei Yousefi
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Interactive learning for personalized medicine
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12:00-12:20
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Son Nguyen
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Predicting human mental health status using mobile sensing data
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12:20-12:40
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Qianqian Qin
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Machine learning for CMV-status classification
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12:40-13:00
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Hasti Narimanzadeh
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Intelligent crop production: data-integrative, multi-task learning meets crop simulator
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13:00-13:20
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Coffee Break
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13:20-13:40
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Session 3A: Room T3
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Chair : Behrouz Jedari
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Emilio Lopez
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Digitalizing performance with wearables and software
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13:40-14:00
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Sourya Sen
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Human computer interaction, cultural heritage, voice agent
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14:00-14:20
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Eero Saariniemi
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Hearing in reverberation
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14:20-14:40
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Fabio Colella
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Learning users' theory of AI's mind in interactive machine learning
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14:40-15:00
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Session 1B: Room T2
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Chair: Markus O. Heinonen
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Zaheer Gauhar
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Getting PACed: towards control and data flow integrity using ARM pointer authentication
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9:40-10:00
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Rune Pönni
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Automated grader for a robot tournament exercise
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10:00-10:20
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Phillip Rieger
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Identification of NAT'd IoT devices using traffic flow clustering
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10:20-10:40
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Likhitha Pentakota
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Mobile cloud computing 3.0
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10:40-11:00
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Lunch Break
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11:00-12:00
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Session 2B: Room T2
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Chair: Markus O. Heinonen
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Siddhartha Saxena
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Semi-supervised learning for multi-label learning
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12:00-12:20
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Sachith Pai
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Monotonicity as a generalization of linear mean
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12:20-12:40
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Zheyang Shen
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Harmonizable spectral kernels with variational Fourier features
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12:40-13:00
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Miika Leinonen
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Fast Fourier transforms over prime fields on a GPU
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13:00-13:20
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Coffee Break
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13:20-13:40
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Session 3B: Room T2
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Chair : Neda B. Marvasti
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Dann Mensah
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Generating realistic face-swaps using deep neural networks
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13:40-14:00
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Kenneth Blomqvist
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Deep convolutional gaussian processes
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14:00-14:20
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Aditya Surikuchi
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Visual storytelling
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14:20-14:40
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